Service: How the Department for Transport used AI to improve MOT testing

Responsible organisation: Driver and Vehicle Standards Agency (DVSA) (Central-Government)

The DVSA applied a clustering model against garage test data from the last 3 months, as there was no labelled data available. The clustering model grouped MOT centres based on the behaviour they show when conducting MOT tests. The DVSA created a risk score for each garage in Great Britain. The risk score combined the output of the clustering algorithm with historical data about how frequently garages had been disciplined for not applying correct MOT standards. This allowed the DVSA to rank garages and their testers, and helped the DVSA identify regional trends. The DVSA updated their garage test data every 3 months. This allowed the DVSA to ensure the model used fresh data whilst also providing stability to garage ratings, providing examiners 3 month windows with which to visit garages.

Additional information

Source Open Innovation Regione Lombardia
Web site https://www.gov.uk/government/organisations/driver-and-vehicle-standards-agency
Start/end date 2019 -
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